Towards building economic models of conversational search

Leif Azzopardi; Mohammad Aliannejadi; Evangelos Kanoulas

doi:10.1007/978-3-030-99739-7_4

Towards building economic models of conversational search

Leif Azzopardi^*, Mohammad Aliannejadi, Evangelos Kanoulas

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

7 Citations (Scopus)

29 Downloads (Pure)

Abstract

Various conceptual and descriptive models of conversational search have been proposed in the literature – while useful, they do not provide insights into how interaction between the agent and user would change in response to the costs and benefits of the different interactions. In this paper, we develop two economic models of conversational search based on patterns previously observed during conversational search sessions, which we refer to as: Feedback First where the agent asks clarifying questions then presents results, and Feedback After where the agent presents results, and then asks follow up questions. Our models show that the amount of feedback given/requested depends on its efficiency at improving the initial or subsequent query and the relative cost of providing said feedback. This theoretical framework for conversational search provides a number of insights that can be used to guide and inform the development of conversational search agents. However, empirical work is needed to estimate the parameters in order to make predictions specific to a given conversational search setting.

Original language	English
Title of host publication	Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings
Editors	Matthias Hagen, Suzan Verberne, Craig Macdonald, Christin Seifert, Krisztian Balog, Kjetil Nørvåg, Vinay Setty
Place of Publication	Cham
Publisher	Springer
Pages	31-38
Number of pages	8
ISBN (Print)	9783030997380
DOIs	https://doi.org/10.1007/978-3-030-99739-7_4
Publication status	Published - 5 Apr 2022
Event	44th European Conference on Information Retrieval, ECIR 2022 - Stavanger, Norway Duration: 10 Apr 2022 → 14 Apr 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13186 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	44th European Conference on Information Retrieval, ECIR 2022
Country/Territory	Norway
City	Stavanger
Period	10/04/22 → 14/04/22

Funding

Acknowledgements. This research was supported by the NWO (No. 016.Vidi 189.039 and No. 314-99-301), and the Horizon 2020 (No. 814961).

Keywords

conversational search
information seeking
QRFA
information retrieval

Access to Document

10.1007/978-3-030-99739-7_4

Azzopardi-etal-ECIR-2022-Towards-building-economic-models-of-conversational-searchAccepted author manuscript, 132 KBLicence: Strath_1

https://arxiv.org/abs/2201.08742

SAFEMODE - Strengthening synergies between Aviation and maritime in the area of human Factors (H2020-MG-2018)
Kurt, R. (Principal Investigator), Coraddu, A. (Co-investigator), Gunbeyaz, S. A. (Co-investigator) & Turan, O. (Co-investigator)
European Commission - Horizon Europe + H2020
1/06/19 → 30/11/22
Project: Research

Cite this

Azzopardi, L., Aliannejadi, M., & Kanoulas, E. (2022). Towards building economic models of conversational search. In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings (pp. 31-38). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13186 LNCS). Springer. https://doi.org/10.1007/978-3-030-99739-7_4

Azzopardi, Leif ; Aliannejadi, Mohammad ; Kanoulas, Evangelos. / Towards building economic models of conversational search. Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings. editor / Matthias Hagen ; Suzan Verberne ; Craig Macdonald ; Christin Seifert ; Krisztian Balog ; Kjetil Nørvåg ; Vinay Setty. Cham : Springer, 2022. pp. 31-38 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Various conceptual and descriptive models of conversational search have been proposed in the literature – while useful, they do not provide insights into how interaction between the agent and user would change in response to the costs and benefits of the different interactions. In this paper, we develop two economic models of conversational search based on patterns previously observed during conversational search sessions, which we refer to as: Feedback First where the agent asks clarifying questions then presents results, and Feedback After where the agent presents results, and then asks follow up questions. Our models show that the amount of feedback given/requested depends on its efficiency at improving the initial or subsequent query and the relative cost of providing said feedback. This theoretical framework for conversational search provides a number of insights that can be used to guide and inform the development of conversational search agents. However, empirical work is needed to estimate the parameters in order to make predictions specific to a given conversational search setting.",

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Azzopardi, L, Aliannejadi, M & Kanoulas, E 2022, Towards building economic models of conversational search. in M Hagen, S Verberne, C Macdonald, C Seifert, K Balog, K Nørvåg & V Setty (eds), Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13186 LNCS, Springer, Cham, pp. 31-38, 44th European Conference on Information Retrieval, ECIR 2022, Stavanger, Norway, 10/04/22. https://doi.org/10.1007/978-3-030-99739-7_4

Towards building economic models of conversational search. / Azzopardi, Leif; Aliannejadi, Mohammad; Kanoulas, Evangelos.
Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings. ed. / Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty. Cham: Springer, 2022. p. 31-38 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13186 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Towards building economic models of conversational search

AU - Azzopardi, Leif

AU - Aliannejadi, Mohammad

AU - Kanoulas, Evangelos

PY - 2022/4/5

Y1 - 2022/4/5

N2 - Various conceptual and descriptive models of conversational search have been proposed in the literature – while useful, they do not provide insights into how interaction between the agent and user would change in response to the costs and benefits of the different interactions. In this paper, we develop two economic models of conversational search based on patterns previously observed during conversational search sessions, which we refer to as: Feedback First where the agent asks clarifying questions then presents results, and Feedback After where the agent presents results, and then asks follow up questions. Our models show that the amount of feedback given/requested depends on its efficiency at improving the initial or subsequent query and the relative cost of providing said feedback. This theoretical framework for conversational search provides a number of insights that can be used to guide and inform the development of conversational search agents. However, empirical work is needed to estimate the parameters in order to make predictions specific to a given conversational search setting.

AB - Various conceptual and descriptive models of conversational search have been proposed in the literature – while useful, they do not provide insights into how interaction between the agent and user would change in response to the costs and benefits of the different interactions. In this paper, we develop two economic models of conversational search based on patterns previously observed during conversational search sessions, which we refer to as: Feedback First where the agent asks clarifying questions then presents results, and Feedback After where the agent presents results, and then asks follow up questions. Our models show that the amount of feedback given/requested depends on its efficiency at improving the initial or subsequent query and the relative cost of providing said feedback. This theoretical framework for conversational search provides a number of insights that can be used to guide and inform the development of conversational search agents. However, empirical work is needed to estimate the parameters in order to make predictions specific to a given conversational search setting.

KW - conversational search

KW - information seeking

KW - QRFA

KW - information retrieval

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M3 - Conference contribution book

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 31

EP - 38

BT - Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings

A2 - Hagen, Matthias

A2 - Verberne, Suzan

A2 - Macdonald, Craig

A2 - Seifert, Christin

A2 - Balog, Krisztian

A2 - Nørvåg, Kjetil

A2 - Setty, Vinay

PB - Springer

CY - Cham

T2 - 44th European Conference on Information Retrieval, ECIR 2022

Y2 - 10 April 2022 through 14 April 2022

ER -

Azzopardi L, Aliannejadi M, Kanoulas E. Towards building economic models of conversational search. In Hagen M, Verberne S, Macdonald C, Seifert C, Balog K, Nørvåg K, Setty V, editors, Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Proceedings. Cham: Springer. 2022. p. 31-38. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-99739-7_4

Towards building economic models of conversational search

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

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Projects

SAFEMODE - Strengthening synergies between Aviation and maritime in the area of human Factors (H2020-MG-2018)

Cite this